Real Time Object Detection with Image Recognition and Web Scraper

The problem of price discrepancies between physical stores and online retailers has been a growing concern for consumers and businesses alike. In this work, our proposed real-time object recognition method has a lot of potential for resolving the issue of price differences between traditional retailers and online suppliers. Our system has the potential to help customers make wise purchase decisions and save money by giving them a quick way to spot possible cost reductions. We anticipate that our research will serve as a catalyst for further research and technological developments in the area of price comparison systems, creating a more level playing field and competitive market.